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xwpjk996

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[求助] 求助两篇论文检索，谢谢已有1人参与

1.Applied-information Technology in Improving the Administration of Drugs that Target Safety Information Warning Platform
2.Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET
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1楼2014-11-30 21:36:58
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xwpjk996: 金币+20, ★★★★★最佳答案 2014-12-02 16:05:48
Accession number:       
20142317800696
        Title:        Applied-information technology in improving the administration of drugs that target safety information warning platform
        Authors:        Xiong, Wang Ping1 Email author xiaoxiongxwp@126.com; Zhou, Xian1; Xu, Guo Liang1; Xiong, Ling Zhu1
        Author affiliation:        1 Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China
        Source title:        Applied Mechanics and Materials
        Abbreviated source title:        Appl. Mech. Mater.
        Volume:        540
        Monograph title:        Advanced Research on Mechanics, Manufacturing Engineering and Applied Technology II
        Issue date:        2014
        Publication year:        2014
        Pages:        431-434
        Language:        English
        ISSN:        16609336
        E-ISSN:        16627482
        ISBN-13:        9783038350958
        Document type:        Conference article (CA)
        Conference name:        2nd International Conference on Applied Mechanics and Manufacturing System, AMMS 2014
        Conference date:        April 26, 2014 - April 27, 2014
        Conference location:        Zhengzhou, China
        Conference code:        105441
        Sponsor:        Beijing Gireida Education Research Center; International Science and Education Researcher Association; VIP-Information Conference Center
        Publisher:        Trans Tech Publications
        Abstract:        In this paper, in order to improve safety as the goal of rational drug use by Oracle to establish a standardized and practical information on pharmaceutical information database to. Net development tools, monitored irrational drug prescription from a doctor or prescription medication before, pharmacy consultation and exchange of information, providing pharmacy services in three areas to build knowledge in order to improve the administration of information security as the goal of early warning systems and medicine formulations. © (2014) Trans Tech Publications, Switzerland.
        Number of references:        7
        Main heading:        Information technology
        Controlled terms:        Artificial intelligence  -  Decision support systems  -  Knowledge management  -  Manufacture  -  Medicine  -  Security of data
        Uncontrolled terms:        Development tools  -  Drug prescriptions  -  Early Warning System  -  Exchange of information  -  Pharmaceutical information  -  Pharmacy information  -  Rational drug use  -  Safety information
        Classification code:        461.6 Medicine and Pharmacology -  537.1 Heat Treatment Processes -  723 Computer Software, Data Handling and Applications -  903 Information Science -  903.3 Information Retrieval and Use
        DOI:        10.4028/www.scientific.net/AMM.540.431
        Database:        Compendex
                Compilation and indexing terms, © 2014 Elsevier Inc.
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2楼2014-12-01 23:38:12
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Accession number:       
20142517841029
        Title:        Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET
        Authors:        Zhou, Xian1; Xiong, Ying1; Xiong, Wang Ping1 Email author xiaoxiongxwp@126.com; Xiong, Ling Zhu1
        Author affiliation:        1 Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China
        Source title:        Advanced Materials Research
        Abbreviated source title:        Adv. Mater. Res.
        Volume:        951
        Monograph title:        Advanced Research on Intelligent System, Mechanical Design Engineering and Information Engineering III
        Issue date:        2014
        Publication year:        2014
        Pages:        185-188
        Language:        English
        ISSN:        10226680
        ISBN-13:        9783038351320
        Document type:        Conference article (CA)
        Conference name:        3rd International Conference on Intelligent Materials and Mechanical Engineering, MEE 2014
        Conference date:        May 24, 2014 - May 25, 2014
        Conference location:        Guangzhou, China
        Conference code:        105673
        Sponsor:        Beijing Gireida Education Research Center; ISER Association; VIP-Information Conference Center, China
        Publisher:        Trans Tech Publications Ltd
        Abstract:        Experimental data for the human body PET multi-variable, non-linear distribution and other characteristics, the use of fusion partial least squares support vector machine variables effectively extracted from the principal component, reducing the number of variables and the exclusion of noise information to construct a linear regression with the dependent variables model, fitting the model has good accuracy and generalization for PET clinical trials provide effective technical support and research ideas. © (2014) Trans Tech Publications, Switzerland.
        Number of references:        7
        Main heading:        Principal component analysis
        Controlled terms:        Data mining  -  Design  -  Information technology  -  Intelligent systems  -  Least squares approximations  -  Multivariable systems  -  Polyethylene terephthalates  -  Support vector machines
        Uncontrolled terms:        Dependent variables  -  Noise information  -  Non-linear distribution  -  Nonlinear data  -  Partial least square (PLS)  -  Partial least squares analysis  -  Principal Components  -  SVM
        Classification code:        408 Structural Design -  723 Computer Software, Data Handling and Applications -  815.1.1 Organic Polymers -  903 Information Science -  921.6 Numerical Methods -  922.2 Mathematical Statistics -  961 Systems Science
        DOI:        10.4028/www.scientific.net/AMR.951.185
        Database:        Compendex
                Compilation and indexing terms, © 2014 Elsevier Inc.
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